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Recently Pac-Man game has received some attention of AI researchers. Some artificial intelligence researches have been performed with the Pac-Man game. The Monte Carlo, UCT (Upper Confidence Bound for Tree) and DTS (Dynamically Expanding UCT Tree Search) method have some good performances when used in Pac-Man game. However, these methods are based on intensive computation and so they usually could...
Recent rapid rise of indoor location based services for smartphones has further increased the importance of precise localization of Wi-Fi Access Point (AP). However, most existing AP localization algorithms either exhibit high errors or need specialized hardware in practical scenarios. In this paper, we propose a novel RSSI gradient-based AP localization algorithm. It consists of the following three...
One major problem of Pac-Man Game is how to generate intelligence of opponents at appropriate challenge level This paper presents an approach for creating game opponents by DDA (Dynamic Difficulty Adjustment), which is used to dynamically adjust challenge level of opponents according to the player's skill level The approach of DDA is based on “time-constrained-CI”. Furthermore, in order to improve...
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